This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Karlstad University
Data analysis and applied machine learning
- Introduction to machine learning - Data management and pre-processing - Supervised learning, such as regression models and classification techniques - Unsupervised learning, such as k-means and hierarchical clustering - Foundations of neural networks and deep learning - Applied ML within the field of engineering -…
- Higher education
- Information unavailable
- 9 November 2026
- Karlstad
- Information unavailable
- 50 %
Overview
- Introduction to machine learning - Data management and pre-processing - Supervised learning, such as regression models and classification techniques - Unsupervised learning, such as k-means and hierarchical clustering - Foundations of neural networks and deep learning - Applied ML within the field of engineering - Ethics and responsible AI
Admission scores
Entry requirements
Mathematics 22.5 credits, Introduction to programming (7.5 credits), Scientific programming (7.5 credits) or Numerical methods (7.5 credits), plus upper secondary level English 6 or English level 2. An equivalence assessment can be made.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-09
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.msad25.55301.20262
- Last checked
- 2026-09-23T10:37:56.839657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.kau.msad25.55301.20262
- Offering identity in the source
- e.uoh.kau.msad25.55301.20262
- Education-form source code
- HS
- Education code in the source
- MSAD25
- Change time according to the source
- 2026-03-03T14:09:46
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.